README.md

---
license: apache-2.0
language:
- ja
pipeline_tag: text-generation
library_name: transformers
base_model: SakanaAI/TinySwallow-1.5B-Instruct
datasets:
- tokyotech-llm/lmsys-chat-1m-synth
- tokyotech-llm/swallow-magpie-ultra-v0.1
- tokyotech-llm/swallow-swallow-gemma-magpie-v0.1
tags:
- mlx
---

# atarayosd/TinySwallow-1.5B-Instruct

The Model [atarayosd/TinySwallow-1.5B-Instruct](https://huggingface.co/atarayosd/TinySwallow-1.5B-Instruct) was
converted to MLX format from [SakanaAI/TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct)
using mlx-lm version **0.21.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("atarayosd/TinySwallow-1.5B-Instruct")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```